joao

Let me close this thread by linking once more to the closest thing the mathematical community has to a collective position on AI and use of AI in mathematics, and the threats they pose: the Leiden Declaration leidendeclaration.ai •38/38

Leiden Declaration on Artificial Intelligence and Mathematics leidendeclaration.ai

AI Weekly's analysis →

• The Leiden Declaration, released June 2, 2026, warns AI threatens proof integrity, attribution, and peer review in mathematics.
• Over 2,654 signatories including Fields Medal winner Terence Tao have endorsed the community-initiated declaration.
• The International Mathematical Union backs the declaration, which makes separate recommendations to researchers, publishers, policymakers, and AI developers.

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Slides for our ICML tutorial on Memorization and Generalization of Diffusion and Flow Matching Models are now available ! 🌀 memorization-generalization.github.io @quentinbertrand.bsky.social

ICML 2026 Tutorial - Generalization and Memorization in Flow Matching and Diffusion memorization-generalization.github.io View on Bluesky →

Ok, sorry to preach here. While I think it's ignorant to talk about AI as autocomplete (doi.org/hcb4rw), it's even more foolish to consider NVIDIA chips as having conscious experience, and deserving of more rights and protection than we give billions of animals on CAFOs that d…

Wet Bags of Atoms Teaching Sand to Think doi.org

AI Weekly's analysis →

• Stephen Turner argues in Paired Ends that dismissing frontier LLMs as 'just next-token prediction' is a thought-terminating cliche, not a critique.
• He borrows Phil Anderson's 1972 paper 'More Is Different' to argue emergent behavior deserves its own vocabulary at each level of complexity.
• The wet-bag-of-atoms analogy is his rhetorical move: humans are literally atoms, but that description does not exhaust what humans do.

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